Matthew G. Fleming

40 total papers · 2.2k total citations
29 papers, 716 citations indexed

About

Matthew G. Fleming is a scholar working on Oncology, Pathology and Forensic Medicine and Dermatology. According to data from OpenAlex, Matthew G. Fleming has authored 29 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 10 papers in Pathology and Forensic Medicine and 10 papers in Dermatology. Recurrent topics in Matthew G. Fleming's work include Cutaneous Melanoma Detection and Management (7 papers), Autoimmune Bullous Skin Diseases (6 papers) and Cancer and Skin Lesions (3 papers). Matthew G. Fleming is often cited by papers focused on Cutaneous Melanoma Detection and Management (7 papers), Autoimmune Bullous Skin Diseases (6 papers) and Cancer and Skin Lesions (3 papers). Matthew G. Fleming collaborates with scholars based in United States, Germany and Portugal. Matthew G. Fleming's co-authors include Gang Ning, Ming‐Lang Zhao, Ruoyan Chen, Zena Werb, Adrián Díaz, Zhi Liu, David L. Larson, Janet A. Fairley, George J. Giudice and Christopher T. Burnett and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Investigative Dermatology and Journal of the American Academy of Dermatology.

In The Last Decade

Matthew G. Fleming

29 papers receiving 688 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Matthew G. Fleming	305	280	223	185	137	29	716
W. K. Blenkinsopp	301 1.0×	168 0.6×	102 0.5×	228 1.2×	74 0.5×	34	824
Roos J. Leguit	205 0.7×	69 0.2×	157 0.7×	212 1.1×	98 0.7×	42	873
Catherine Picard	395 1.3×	323 1.2×	307 1.4×	78 0.4×	25 0.2×	16	797
M. Keefe	117 0.4×	69 0.2×	35 0.2×	202 1.1×	87 0.6×	33	675
Bolette L. Caron	225 0.7×	56 0.2×	166 0.7×	342 1.8×	104 0.8×	12	843
Jean‐Jacques Voigt	235 0.8×	88 0.3×	67 0.3×	314 1.7×	59 0.4×	21	736
Mona Anand	201 0.7×	158 0.6×	271 1.2×	209 1.1×	175 1.3×	43	907
Javier A. Laurini	266 0.9×	78 0.3×	129 0.6×	227 1.2×	63 0.5×	38	718
Yara Yukie Kikuti	562 1.8×	36 0.1×	195 0.9×	398 2.2×	200 1.5×	48	850
Andrea P. Moy	212 0.7×	79 0.3×	60 0.3×	422 2.3×	193 1.4×	45	799

Countries citing papers authored by Matthew G. Fleming

Since Specialization

Citations

This map shows the geographic impact of Matthew G. Fleming's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew G. Fleming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew G. Fleming more than expected).

Fields of papers citing papers by Matthew G. Fleming

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew G. Fleming. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew G. Fleming. The network helps show where Matthew G. Fleming may publish in the future.

Co-authorship network of co-authors of Matthew G. Fleming

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew G. Fleming. A scholar is included among the top collaborators of Matthew G. Fleming based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew G. Fleming. Matthew G. Fleming is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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